A few months ago, after my #MusicTech book was published, I’ve spend some hours with Felipe Hoffa, Developer Advocate at Google, talking about several musical… Continued reading A Google Developer video on BigQuery for #MusicTech
It’s been out for a few weeks, but I haven’t blogged about it, so here it is: My e-book #MusicTech is now available on leanpub.… Continued reading #MusicTech: An e-book on data science, analytics, recommender systems, and music discovery
With the recent news of image recognition start-up Clarifai raising $10M, I decided to experiment with their Web API. While Deep Learning (the core of their… Continued reading Identifying music genres from Spotify album covers using Clarifai’s deep learning API and Google Prediction
With CES starting tomorrow, I though it would be a good time to reflect on the future of music streaming, and what’s needed to own the space. Not… Continued reading Context: The future of music streaming and personalisation?
Following my journey with Google Cloud, in particular BigQuery, I’m building a pipeline which mines Tweets containing YouTube videos, and maps those videos to Freebase in order to run various discovery / recommendations… Continued reading Sharing YouTube music on Twitter: Analytics using Freebase and BigQuery
A few days ago, Warner Music acquired Playlists.net, and as Techcrunch pointed out, one reason can be be its data, and the related insights. But, what can we learn… Continued reading Insights from 500,000 Deezer playlists using Google’s BigQuery
If you log-in to Deezer, Spotify, YouTube, etc. to listen to a particular artist, you can simply pick their top-tracks. Yet, while they’re the most popular,… Continued reading How mood and tempo can influence artist discovery?
Here’s the second post of my data analysis series on the Rolling Stone top 500 greatest songs of all time. While the first one focused… Continued reading Back in Black: Analyzing the loudness and tempo of the Rolling Stone top 500 songs
While toying with the public BigQuery datasets, impatiently waiting for Google Cloud Dataflow to be released, I’ve noticed the Wikipedia Revision History one, which contains a list… Continued reading Music recommendations with 300M data points and one SQL query
I was reading the Wikipedia entry for the Rolling Stone’s 500 Greatest Songs of All Time, and while it contains a lot of interesting statistics (shortest and… Continued reading Sex and drugs and Rock’n’roll: Analysing the lyrics of the Rolling Stone 500 greatest songs of all time